deepmind - Tech News from Simmons Systems (Page 10)

Tech News from Simmons Systems

deepmind

A collection of 193 posts

DeepMind's AlphaFold Solves 50-Year-Old Protein Folding Challenge

A new AI system called AlphaFold achieves atomic-level accuracy in predicting protein structures from amino acid sequences, solving a major scientific challenge.

DeepMind's AlphaFold Solves 50-Year-Old Protein Folding Challenge

A new AI system called AlphaFold achieves atomic-level accuracy in predicting protein structures from amino acid sequences alone. This breakthrough opens the door for rapid advances in structural biology and drug discovery.

DeepMind's AlphaFold Solves 50-Year-Old Protein Folding Challenge

A new artificial intelligence system called AlphaFold achieves atomic-level accuracy in predicting protein structures directly from amino acid sequences. This breakthrough dramatically closes the gap between known protein sequences and experimentally determined structures.

DeepMind's AlphaFold Achieves Atomic Accuracy in Protein Structure Prediction

DeepMind introduces AlphaFold, an AI system that solves the 50-year-old protein folding problem by predicting 3D structures with atomic accuracy directly from amino acid sequences. This breakthrough bridges a massive gap between known protein sequences and experimentally determined structures.

DeepMind's AlphaFold Achieves Atomic-Level Accuracy in Protein Structure Prediction

DeepMind introduces AlphaFold, an AI system that predicts protein 3D structures with unprecedented atomic accuracy using only amino acid sequences. This breakthrough solves a 50-year-old grand challenge in biology and opens new doors for scientific research.

AlphaFold Database Offers Free Access to 200 Million Predicted Protein Structures

A collaborative database from Google DeepMind and EMBL-EBI provides open access to over 200 million AI-generated protein structure predictions. This massive resource accelerates biological research by delivering highly accurate 3D models that rival experimental methods.

AlphaFold Database Transforms Biology With Massive Protein Structure Predictions

The AlphaFold Protein Structure Database provides open access to highly accurate protein structure predictions, dramatically expanding the known structural coverage of protein-sequence space.

DeepMind's AlphaFold Solves the 50-Year-Old Protein Folding Problem

AlphaFold achieves atomic-level accuracy in predicting protein structures from amino acid sequences, overcoming a major bottleneck in structural biology. This breakthrough opens new doors for understanding biological functions and accelerating scientific discovery.

DeepMind's 280-Billion Parameter Gopher Model Reshapes AI Language Understanding

DeepMind trains a massive 280-billion parameter language model named Gopher and evaluates it across 152 diverse tasks. The analysis reveals that scaling up yields the biggest improvements in reading comprehension and fact-checking, but offers fewer gains for mathematical reasoning.

DeepMind Gopher Study Reveals How AI Scale Impacts Performance

A new DeepMind study analyzes Transformer-based language models ranging from millions to 280 billion parameters. The massive Gopher model achieves state-of-the-art results on most of 152 diverse tasks, though reasoning skills see fewer benefits from scaling up.

DeepMind Unveils Gopher, a Massive 280-Billion Parameter Language Model

DeepMind introduces Gopher, a 280 billion parameter language model, alongside new research on the ethical risks and architectural efficiencies of large-scale AI. The studies reveal that while larger models excel at fact-checking and reading comprehension, they still struggle with logical reasoning.

DeepMind Unveils 280B Parameter Gopher Model Alongside Ethical Risk Study

DeepMind releases three new papers exploring large language models, headlined by Gopher, a 280 billion parameter model evaluated across numerous tasks alongside a dedicated study on ethical risks.

DeepMind Unveils Gopher, an Efficient Language Model Outperforming GPT-3

DeepMind introduces Gopher, a 280-billion-parameter language model that outperforms GPT-3 on key benchmarks through smarter resource allocation rather than sheer size.

artificial intelligence

New Player of Games AI Mastering Both Perfect and Imperfect Information

Researchers introduce Player of Games, a general-purpose AI algorithm that combines search, self-play, and game-theoretic reasoning to master diverse game types. It achieves strong performance in chess, Go, poker, and the complex imperfect information game Scotland Yard.

DeepMind Unveils Player of Games AI That Masters Diverse Game Types

DeepMind introduces Player of Games, a new AI system that successfully plays both perfect information games like Chess and Go and imperfect information games like Poker using a single algorithm.